American Artificial Intelligence Leadership and Uniformity Act

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-09-15

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• Competitive dynamics
• Governance failure

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• AI system security vulnerabilities
• Increased inequality and decline in employment
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal risk domain coverage, with explicit focus on competitive dynamics (6.4) and governance failure (6.5). It touches on AI system security (2.2) and compliance burdens on small businesses (6.2) implicitly. The primary focus is on establishing governance frameworks rather than addressing specific AI harms or risks.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Scientific Research & Development Services
• Public Administration (excl. National Security)
• National Security

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Professional & Technical Services
• Management, Administrative & Support Services
• Educational Services
• Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

This is a cross-sectoral framework that applies broadly to AI in interstate commerce across all economic sectors. The document explicitly mentions national security and federal government operations, and references critical infrastructure. The moratorium on state laws applies to AI systems in all sectors engaged in interstate commerce, making this a comprehensive horizontal governance framework rather than sector-specific regulation.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional bill with mandatory language ('shall') throughout, designed to create binding legal obligations on Federal agencies and preempt State laws once enacted. The document uses formal legislative structure and would have legal enforceability upon passage.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is structured as a Congressional bill with formal legislative language indicating it is proposed by the legislative branch.

Target

• Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
• Summary: The bill targets Federal agencies with mandatory planning requirements and preempts State and local governments from regulating AI in interstate commerce. It affects private sector AI developers and deployers through the prohibition on state regulation.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Act creates enforceable obligations on the President and Federal agencies to develop and implement the Action Plan, and establishes Federal preemption of State laws which would be enforced through the federal system.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: Congress receives the Action Plan and annual updates for oversight. The President coordinates interagency implementation and public reporting with defined metrics for progress evaluation.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers multiple AI lifecycle stages with emphasis on development (Build and Use Model), testing and validation (Verify and Validate), deployment, and operational monitoring. It addresses the full lifecycle through requirements for Federal AI governance from R&D through deployment and incident reporting.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• Foundation Models
• AI Systems

Technical Scope Summary

The document explicitly defines and addresses AI models, AI systems, and automated decision systems. It references foundation models and various technical components but does not specifically mention frontier AI, general purpose AI, task-specific AI, generative AI, predictive AI, open-weight models, or compute thresholds.